Triple
T21141855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jill Noel |
E520950
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Richard J. Riordan |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Richard J. Riordan | Statement: [Jill Noel, spouse, Richard J. Riordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard J. Riordan Context triple: [Jill Noel, spouse, Richard J. Riordan]
-
A.
Richard J. Riordan
chosen
Richard J. Riordan was an American businessman, philanthropist, and Republican politician who served as mayor of Los Angeles from 1993 to 2001.
-
B.
Daniel J. Riordan
Daniel J. Riordan was an American politician who served as a Democratic U.S. Representative from New York in the early 20th century.
-
C.
Michael L. Riordan
Michael L. Riordan is an American physician and entrepreneur best known as the founding CEO of the biopharmaceutical company Gilead Sciences.
-
D.
Michael H. Riordan
Michael H. Riordan is an American economist known for his contributions to industrial organization and regulatory economics.
-
E.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723f96cf081909d10309e08aeca93 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:57 p.m.